Building a FlowEHR App

If you want to build an app that works safely with live patient data and/or ML Model predictions, share it securely with clinicians to inform their decision-making, and you don’t want to worry about managing any infrastructure and deployment logic, then you’re in the right place.

You can read more about the anatomy of FlowEHR apps here.

1 Getting started

1.1 Prerequisites

Speak to your friendly FlowEHR admin…

1.2 Choosing a template

Finding a seedling Cloning the repo and making some changes​ Serve-local to run + debug locally​

2 Connecting to synthetic data

2.1 Local connectivity to Feature Store

2.2 Local connectivity to State Store

3 Calling model endpoints

4 App monitoring instrumentation

5 Deploying your app to a dev environment

5.1 PR to deployment branch

PR to app-dev branch. My work is deployed in dev.​ PR to staging / approval – my dashboard now runs in a prod environment with access to live data. I can see it [here].​

5.2 Viewing the hosted site

5.3 Viewing logs and metrics

6 Deploying to staging & prod environments

Now I’m ready + others approve => It can go to prod here.​ I can share the link, and a clinician can securely log in via AAD